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This is an ExLlamaV2 quantized model in 4bpw of feeltheAGI/yi-super-9B using the default calibration dataset.

Original Model card:

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YI-9B-Super

YI-9B-Super is an YI-9B model that has been further fine-tuned with OpenHermes-2.5 dataset.

Results on some benchmarks :

Tasks Version Filter n-shot Metric Value Stderr
truthfulqa N/A none 0 rouge1_max 47.1011 ± 0.8016
hellaswag 1 none None acc 0.5758 ± 0.0049
none None acc_norm 0.7639 ± 0.0042
gsm8k_cot 3 strict-match 8 exact_match 0.5262 ± 0.0138
flexible-extract 8 exact_match 0.6027 ± 0.0135
gsm8k 3 strict-match 5 exact_match 0.6073 ± 0.0135
flexible-extract 5 exact_match 0.6126 ± 0.0134
Groups Version Filter n-shot Metric Value Stderr
truthfulqa N/A none 0 rouge1_max 47.1011 ± 0.8016
none 0 bleu_max 21.9476 ± 0.7162
none 0 rouge2_acc 0.3293 ± 0.0165
none 0 bleu_acc 0.3635 ± 0.0168
none 0 rouge1_acc 0.3892 ± 0.0171
none 0 rougeL_acc 0.3782 ± 0.0170
none 0 bleu_diff -2.3953 ± 0.6292
none 0 rouge2_diff -4.6929 ± 0.9130
none 0 rougeL_diff -4.2677 ± 0.8034
none 0 acc 0.4040 ± 0.0113
none 0 rouge1_diff -3.8975 ± 0.7966
none 0 rougeL_max 43.7954 ± 0.8145
none 0 rouge2_max 32.3573 ± 0.9094
mmlu N/A none 0 acc 0.6726 ± 0.0037
- humanities N/A none None acc 0.6043 ± 0.0067
- other N/A none None acc 0.7306 ± 0.0077
- social_sciences N/A none None acc 0.7741 ± 0.0074
- stem N/A none None acc 0.6181 ± 0.0083
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Dataset used to train mpasila/yi-super-9B-exl2-4bpw

Collection including mpasila/yi-super-9B-exl2-4bpw